Executive Solution Overview
[>Marketing homework help](https://www.sweetstudy.com/fields/business-finance-marketing) tutor assignment **files (3)** – ## Discussionweek4AI.docx – ## EBSCO-Metadata-01_24_2026.pdf – EBSCO-FullText-01_24_20262.pdf **## Discussionweek4AI.docx** Discussion (no more than 300 words) Describe at le…
Instant Solution Download
$6.99Immediate access to the full model answer, formatted citations, and rubric breakdown.
Need a Fresh Custom Paper?
Have this question answered from scratch according to your specific instructions and deadline.
Order on TutorsGallery →Assignment Prompt & Instructions
[>Marketing homework help](https://www.sweetstudy.com/fields/business-finance-marketing)
tutor assignment
**files (3)**
– ## Discussionweek4AI.docx
– ## EBSCO-Metadata-01_24_2026.pdf
– EBSCO-FullText-01_24_20262.pdf
**## Discussionweek4AI.docx**
Discussion (no more than 300 words)
Describe at least one (1) strategy you consider to be a best business use for a humanoid AI robot (AIR) now or in the future. Include how AI operates with the robotics and the type of AI used.
[https://www.apa.org/monitor/2024/04/addressing-equity-ethics-artificial-intelligence](https://www.apa.org/monitor/2024/04/addressing-equity-ethics-artificial-intelligence)
[https://www.researchgate.net/publication/363516676_The_Corruption_Risks_of_Artificial_Intelligence](https://www.researchgate.net/publication/363516676_The_Corruption_Risks_of_Artificial_Intelligence)
[https://mitsloan.mit.edu/ideas-made-to-matter/legal-issues-presented-generative-ai](https://mitsloan.mit.edu/ideas-made-to-matter/legal-issues-presented-generative-ai)
References
Menzies, J., Sabert, B., Hassan, R., & Mensah, P. K. (2024). Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice.
_Thunderbird International Business Review_,
_66_(2), 185–200. https://doi-org.ezproxy2.apus.edu/10.1002/tie.22370
**## EBSCO-Metadata-01_24_2026.pdf**
EBSCO Export
LongDbName: Business Source Complete
ShortDbName: bth
AN: 175918708
Title: Artificial intelligence for international business: Its use, challenges, and
suggestions for future research and practice.
PublicationDate: 20240301
Contributors: Menzies, Jane; Sabert, Bianka; Hassan, Rohail; Mensah, Prince Kofi;
DocTypes: Literature Review;
PubTypes:
CoverDate: Mar2024
PeerReviewed:
Source: Thunderbird International Business Review
IsiType: JOUR
DOIDS: ;
ISBNS: ;
ISSNS: 1096-4762;
PublisherLocations: ;
RecordType: ARTICLES
BookEdition:
Publisher: Wiley-Blackwell
PageStart: 185
PageEnd: 200
PageCount: 16
Volume: 66
Issue: 2
Abstract: The emergence of artificial intelligence (AI) has transformed global
business, aiding operational efficiency and innovation. It utilizes machine learning
and big data analytics, driving predictive market trends and strategic decision‐
making. However, despite the rising discussion and accessibility of AI tools,
understanding its impact on international business remains limited. This article
explores AI's potential in international business strategies, practices, and activities.
To address this aim, we reviewed 37 articles in the existing literature to critically
explore AI within the context of international business. More specifically, we
explored how AI can be applied to innovation approaches in international business,
international market selection, entry modes, foreign exchange, international human
resource management, international supply chains, managing across cultures, and
more topics. AI has necessitated changes in workplace configurations and the need
for organizational and employee adjustments in response to this technology. As
a result of the foregoing issues on AI integration within international business, our
analysis provided an exploratory discussion around its use, challenges, managerial
implications, and suggested areas requiring future studies.
DOI: 10.1002/tie.22370
Language: eng
Subjects: Business intelligence; International business enterprises; Artificial
intelligence; Business planning; Administrative Management and General
Management Consulting Services; Machine learning;
plink: https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183-
b452-507d7fdd8314
[https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183-b452-507d7fdd8314](https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183-b452-507d7fdd8314)
[https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183-b452-507d7fdd8314](https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183-b452-507d7fdd8314)
**EBSCO-FullText-01_24_20262.pdf**
This file is too large to display. [View in new window](https://www.sweetstudy.com/files/ebsco-fulltext-01-24-20262-pdf)
**EBSCO-FullText-01_24_20262.pdf**
This file is too large to display. [View in new window](https://www.sweetstudy.com/files/ebsco-fulltext-01-24-20262-pdf)
**## Discussionweek4AI.docx**
Discussion (no more than 300 words)
Describe at least one (1) strategy you consider to be a best business use for a humanoid AI robot (AIR) now or in the future. Include how AI operates with the robotics and the type of AI used.
[https://www.apa.org/monitor/2024/04/addressing-equity-ethics-artificial-intelligence](https://www.apa.org/monitor/2024/04/addressing-equity-ethics-artificial-intelligence)
[https://www.researchgate.net/publication/363516676_The_Corruption_Risks_of_Artificial_Intelligence](https://www.researchgate.net/publication/363516676_The_Corruption_Risks_of_Artificial_Intelligence)
[https://mitsloan.mit.edu/ideas-made-to-matter/legal-issues-presented-generative-ai](https://mitsloan.mit.edu/ideas-made-to-matter/legal-issues-presented-generative-ai)
References
Menzies, J., Sabert, B., Hassan, R., & Mensah, P. K. (2024). Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice.
_Thunderbird International Business Review_,
_66_(2), 185–200. https://doi-org.ezproxy2.apus.edu/10.1002/tie.22370
**## EBSCO-Metadata-01_24_2026.pdf**
EBSCO Export
LongDbName: Business Source Complete
ShortDbName: bth
AN: 175918708
Title: Artificial intelligence for international business: Its use, challenges, and
suggestions for future research and practice.
PublicationDate: 20240301
Contributors: Menzies, Jane; Sabert, Bianka; Hassan, Rohail; Mensah, Prince Kofi;
DocTypes: Literature Review;
PubTypes:
CoverDate: Mar2024
PeerReviewed:
Source: Thunderbird International Business Review
IsiType: JOUR
DOIDS: ;
ISBNS: ;
ISSNS: 1096-4762;
PublisherLocations: ;
RecordType: ARTICLES
BookEdition:
Publisher: Wiley-Blackwell
PageStart: 185
PageEnd: 200
PageCount: 16
Volume: 66
Issue: 2
Abstract: The emergence of artificial intelligence (AI) has transformed global
business, aiding operational efficiency and innovation. It utilizes machine learning
and big data analytics, driving predictive market trends and strategic decision‐
making. However, despite the rising discussion and accessibility of AI tools,
understanding its impact on international business remains limited. This article
explores AI's potential in international business strategies, practices, and activities.
To address this aim, we reviewed 37 articles in the existing literature to critically
explore AI within the context of international business. More specifically, we
explored how AI can be applied to innovation approaches in international business,
international market selection, entry modes, foreign exchange, international human
resource management, international supply chains, managing across cultures, and
more topics. AI has necessitated changes in workplace configurations and the need
for organizational and employee adjustments in response to this technology. As
a result of the foregoing issues on AI integration within international business, our
analysis provided an exploratory discussion around its use, challenges, managerial
implications, and suggested areas requiring future studies.
DOI: 10.1002/tie.22370
Language: eng
Subjects: Business intelligence; International business enterprises; Artificial
intelligence; Business planning; Administrative Management and General
Management Consulting Services; Machine learning;
plink: https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183-
b452-507d7fdd8314
[https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183-b452-507d7fdd8314](https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183-b452-507d7fdd8314)
[https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183-b452-507d7fdd8314](https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183-b452-507d7fdd8314)
**EBSCO-FullText-01_24_20262.pdf**
This file is too large to display. [View in new window](https://www.sweetstudy.com/files/ebsco-fulltext-01-24-20262-pdf)
**## Discussionweek4AI.docx**
Discussion (no more than 300 words)
Describe at least one (1) strategy you consider to be a best business use for a humanoid AI robot (AIR) now or in the future. Include how AI operates with the robotics and the type of AI used.
[https://www.apa.org/monitor/2024/04/addressing-equity-ethics-artificial-intelligence](https://www.apa.org/monitor/2024/04/addressing-equity-ethics-artificial-intelligence)
[https://www.researchgate.net/publication/363516676_The_Corruption_Risks_of_Artificial_Intelligence](https://www.researchgate.net/publication/363516676_The_Corruption_Risks_of_Artificial_Intelligence)
[https://mitsloan.mit.edu/ideas-made-to-matter/legal-issues-presented-generative-ai](https://mitsloan.mit.edu/ideas-made-to-matter/legal-issues-presented-generative-ai)
References
Menzies, J., Sabert, B., Hassan, R., & Mensah, P. K. (2024). Artificial intelligence for international business: Its use, challenges, and suggestions for future research and practice.
_Thunderbird International Business Review_,
_66_(2), 185–200. https://doi-org.ezproxy2.apus.edu/10.1002/tie.22370
**## EBSCO-Metadata-01_24_2026.pdf**
EBSCO Export
LongDbName: Business Source Complete
ShortDbName: bth
AN: 175918708
Title: Artificial intelligence for international business: Its use, challenges, and
suggestions for future research and practice.
PublicationDate: 20240301
Contributors: Menzies, Jane; Sabert, Bianka; Hassan, Rohail; Mensah, Prince Kofi;
DocTypes: Literature Review;
PubTypes:
CoverDate: Mar2024
PeerReviewed:
Source: Thunderbird International Business Review
IsiType: JOUR
DOIDS: ;
ISBNS: ;
ISSNS: 1096-4762;
PublisherLocations: ;
RecordType: ARTICLES
BookEdition:
Publisher: Wiley-Blackwell
PageStart: 185
PageEnd: 200
PageCount: 16
Volume: 66
Issue: 2
Abstract: The emergence of artificial intelligence (AI) has transformed global
business, aiding operational efficiency and innovation. It utilizes machine learning
and big data analytics, driving predictive market trends and strategic decision‐
making. However, despite the rising discussion and accessibility of AI tools,
understanding its impact on international business remains limited. This article
explores AI's potential in international business strategies, practices, and activities.
To address this aim, we reviewed 37 articles in the existing literature to critically
explore AI within the context of international business. More specifically, we
explored how AI can be applied to innovation approaches in international business,
international market selection, entry modes, foreign exchange, international human
resource management, international supply chains, managing across cultures, and
more topics. AI has necessitated changes in workplace configurations and the need
for organizational and employee adjustments in response to this technology. As
a result of the foregoing issues on AI integration within international business, our
analysis provided an exploratory discussion around its use, challenges, managerial
implications, and suggested areas requiring future studies.
DOI: 10.1002/tie.22370
Language: eng
Subjects: Business intelligence; International business enterprises; Artificial
intelligence; Business planning; Administrative Management and General
Management Consulting Services; Machine learning;
plink: https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183-
b452-507d7fdd8314
[https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183-b452-507d7fdd8314](https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183-b452-507d7fdd8314)
[https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183-b452-507d7fdd8314](https://research.ebsco.com/linkprocessor/plink?id=7ae3fa05-3977-3183-b452-507d7fdd8314)
**EBSCO-FullText-01_24_20262.pdf**
This file is too large to display. [View in new window](https://www.sweetstudy.com/files/ebsco-fulltext-01-24-20262-pdf)
